Your question is Optimizing AI Workloads on GCP. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
How would you optimize storage and networking for large-scale AI/ML workloads on Google Cloud? Discuss how you would choose among Cloud Storage, Filestore, Parallelstore, and local SSD, and how you would design VPC networking for distributed training. Cover throughput, latency, locality, cost, reliability, and security without assuming a specific model or framework.